A generalization of accelerant identification algorithms that consider
ably extends the class of admissible error transformations guaranteein
g strong consistency is proposed to obtain asymptotically effective es
timates of the parameter vector of regression-autoregression processes
. The results of numerical simulation confirm good efficiency of the p
roposed procedures.